Plot and score against observations — plot_obs

Wrapper for plot_observations(). Scores the given forecast against the given observations, then plots the observations with a colour scale corresponding to score.

Usage

plot_obs_score(plt = NULL, fcst, obs, invert_scale = FALSE, score, ...)

Arguments

plt: (Optional) A ggplot object. it will be added to using the + operator. Defaults to NULL, in which case a blank ggplot object will be created.
fcst: A forecast object (see output of create_forecast()).
obs: An observations data frame
invert_scale: (Optional) a boolean. If TRUE, the color scale will be inverted. This is useful for scores where smaller values are better, e.x. CRPS.
score: (Optional) A scoring function. The function will be used to score fcst against obs. A scoring function should accept a forecast object, an observations data frame, as well as a summarize argument. See ?accuracy, ?log_score for examples. See vignette(topic='casteval', package='casteval') for details.
...: Additional parameters to be passed to score. Note that summarize should not be one of them, since casteval already passes that to score.

Value

A ggplot object

Examples

fc <- create_forecast(list(
  time=1:10,
  vals=list(
    c(1,2,3,5,4,5,4,6,6,5),
    c(1,3,5,4,6,5,7,9,8,8),
    c(1,4,3,4,5,6,5,3,2,2),
    c(1,2,4,5,7,8,7,9,10,9)
  )
))

obs <- data.frame(time=1:10, val_obs=c(1,4,8,10,11,8,5,3,3,2))

NULL |> plot_obs_score(fc, obs, score=log_score, bw=2)